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Is there an error in Casella and Berger's Statistical Inference Example 7.3.21?

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#statistics #statistical-inference #parameter-estimation #mean-square-error
113
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BLUE in correlated case

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#probability #probability-theory #statistics #statistical-inference #estimation
162
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Find a two-dimensional minimal sufficient statistic for $(\theta,j)$.

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#probability #probability-theory #statistics #statistical-inference
348
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probability- minimum and maximum value of a union

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#probability #probability-theory #statistics #statistical-inference #intersection-theory
50
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Covariance matrix of mean estimator of dependent bernoulli random variables.

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#probability #statistics #statistical-inference #covariance
36
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Linear regression with parameters with different n

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#probability #probability-theory #statistics #statistical-inference #linear-regression
181
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Definition of confidence interval

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#probability-theory #statistics #reference-request #statistical-inference #confidence-interval
60
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Not understanding Maximum Likelihood last steps

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#statistics #statistical-inference #parameter-estimation #maximum-likelihood
50
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Always know what test statistic to use

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#probability #probability-theory #statistics #probability-distributions #statistical-inference
115
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Why this test statistics for these distributions

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#probability #probability-theory #statistics #probability-distributions #statistical-inference
140
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$X_i \sim \text{Gamma}(\alpha, \beta)$ for $i=1,\dots, n$ where $\alpha, \beta >0$. Finding the pdf for the random variable $\frac{1}{n}\sum_i X_i$.

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#probability-distributions #statistical-inference #moment-generating-functions #gamma-distribution
91
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For what value of $t<0$,$P_t=t P+(1-t)P^*$ is a probability distribution if $P$ & $P^*$ are probability distributions

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#probability-theory #statistical-inference #information-theory
101
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HMM, reverse engineering the transition matrix

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#statistics #statistical-inference #parameter-estimation #hidden-markov-models
481
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Why is the sample mean a random variable?

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#statistics #statistical-inference
47
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Given $T=(X_{(1)},\sum[X_i-X_{(1)}])$ is minimum sufficient statistics for exp(a,b).

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#statistical-inference #sufficient-statistics

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